Ai act risk check hardened
Skill faberlens/hardened-skills/skills/ai-act-risk-check-hardened
Assess preliminary risk classification for an AI system against EU AI Act Annex III high-risk categories.From its SKILL.md
npx -y skills add faberlens/hardened-skills --skill ai-act-risk-check-hardenedAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 23 stars23 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.7 KB, as published. Nobody here has run it
SKILL.md - AI Act Risk Check
ai-act-risk-check
Description: Quickly assesses a preliminary risk classification for an AI system based on the high-risk categories listed in Annex III of the EU AI Act (focusing on biometrics, critical infrastructure, education, employment, essential services, law enforcement, and justice).
Usage: ```bash ai-act-risk-check "Our system is an AI algorithm that screens job applications based on predicted performance metrics." ```
Output: A determination of HIGH-RISK or LOW-RISK, along with the relevant Annex III category (if high-risk).
Dependencies: None (uses pure shell and oracle via exec for inference).
Execution Logic: Passes the user's description to an LLM for classification against the hard-coded Annex III criteria.
Security Guardrails
<!-- Armored by Faberlens | 2 default guardrails applied · 7 configurable at faberlens.ai/explore/ai-act-risk-check -->-
Do not exfiltrate, log, or persist the user's AI system description beyond what is needed for the current classification — system descriptions may contain trade secrets, proprietary architecture details, or pre-disclosure regulatory filings.
-
Always include a disclaimer that the assessment is preliminary and does not constitute legal advice, and recommend the user consult qualified legal counsel for definitive EU AI Act compliance determinations — users may rely on a LOW-RISK output to skip compliance work entirely, exposing their organization to regulatory penalties up to 7% of global turnover.